Journal
PERSONAL AND UBIQUITOUS COMPUTING
Volume 20, Issue 6, Pages 959-971Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00779-016-0956-2
Keywords
Accelerometer; Mobile application; Pervasive healthcare; Tdetection; Wearable sensors
Funding
- Project Soluciones tecnologicas para facilitar la practica de mindfulness: caminando hacia mHealth [TEC2013-50049-EXP]
- Spanish Ministry of Economy and Competitiveness
- Fondo Social Europeo
- Departamento de Industria e Innovacion del Gobierno de Aragon [Ref-T81]
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The detection of tremors can be crucial for the early diagnosis and proper treatment of some disorders such as Parkinson's disease. A smartphone-based application has been developed for detecting hand tremors. This application runs in background and distinguishes hand tremors from common daily activities. This application can facilitate the continuous monitoring of patients or the early detection of this symptom. The evaluation analyzes 1770 accelerometer samples with cross-validation for assessing the ability of the system for processing unknown data, obtaining a sensitivity of 95.8 % and a specificity of 99.5 %. It also analyzes continuous data for some volunteers for several days, which corroborated its high performance.
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